Animated stamps from USC celebrate 14 builders of the modern internet, from DNS and video ...

USC is celebrating America's 250th anniversary with animated digital stamps honoring unsung heroes of computing. These stamps ...
Interesting Engineering on MSN

Video: New AI model gives humanoid robots 90 percent success in complex missions

Flexion Robotics has introduced Reflect v1.0, a robotics intelligence platform that enables humanoid robots ...
IEEE

Reinforcement learning and adaptive dynamic programming for feedback control

Abstract: Living organisms learn by acting on their environment, observing the resulting reward stimulus, and adjusting their actions accordingly to improve the reward. This action-based or ...
Scientific Research Publishing

Reinforcement Learning for Dynamic and Predictive CPU Resource Management in Cloud Computing ()

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...
acm.org

Developing the Foundations of Reinforcement Learning

The examples are nothing if not relatable: preparing breakfast, or playing a game of chess or tic-tac-toe. Yet the idea of learning from the environment and taking steps that progress toward a goal ...
Scientific Research Publishing

Offline Robustness of Distributional Actor-Critic Ensemble Reinforcement Learning ()

1 Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China. 2 School of Future Technology, and Department of Mathematics, College of Sciences, Shanghai University, Shanghai ...
GitHub

Awesome Explainable Reinforcement Learning

A list of selected paper and possible corresponding codes in our review paper A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges. If you find there is a missed paper or a ...
IEEE

Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic ...

Abstract: Scheduling heuristics are commonly used to solve dynamic scheduling problems in real-world applications. However, designing effective heuristics can be time-consuming and often leads to ...